Every location's structured data — generated automatically from your real data, kept fresh
LocalBusiness, vertical-specific types, Service, FAQ, and breadcrumb schema per location — generated from your actual operating data and refreshed automatically when the data changes.
The problem
An 80-location dental brand needs LocalBusiness, Dentist, MedicalClinic, Service, FAQPage, and BreadcrumbList schema for every location. Schema App costs around $1,200 a month at enterprise pricing. Yoast Schema is WordPress-flavored. Merkle's TechnicalSEO.com generator is free but one-off — it does not stay in sync as your data changes. WordLift runs $59 to $499 a month. Yext bundles schema with their per-location pricing at $999 to $24,000+ per year, locked to their platform. Your actual operating data lives in your business system — the hours, the services offered, the practitioners, the insurance accepted, the languages spoken. None of the schema tools generate JSON-LD per location from that operating data and keep it fresh as the data changes. In-house engineers can build custom templates at four to twelve weeks per vertical, with permanent maintenance after that. Manual JSON-LD authoring falls apart past 10 pages once you add the vertical-specific requirements (HIPAA dental terms, FDA medical-device, California consumer-data rules).
What success looks like
Every location's JSON-LD is generated continuously from your actual operating data — the hours, services, practitioners, insurance, languages, locations — and refreshed automatically when the data changes. Vertical-specific types apply per business type: Dentist and MedicalClinic for healthcare brands, Restaurant for food, AutomotiveBusiness for service brands, FinancialService for finance, and so on. Service, FAQPage, BreadcrumbList, Person, Organization, and Offer types compose on top. Compliance rules apply per regulation. Multi-banner operators see per-location JSON-LD across banners with each banner's schema kept distinct. Every JSON-LD block and every schema change is preserved with the location, vertical, and the operating data behind it, so when an audit asks why a particular schema field was set the way it was, the answer is on file.
How most operators solve this today
Six categories of tools touch this. None of them generate continuously from your actual operating data.
Schema-markup specialist platforms (Schema App, Schema.dev, Merkle TechnicalSEO Schema Generator, WordLift, Bruce Clay Schema Helper, Google Rich Results Test, Schema Pro)
Free plus $30 to $1,500+ per month
Generic schema generation. Not connected to your operating data. Does not stay fresh.
Enterprise SEO platforms (Ahrefs, Semrush, Moz Pro, Conductor, BrightEdge, seoClarity, Botify)
$99 per month to $200,000+ per year
Schema-markup features included as add-ons. Not built for multi-location operating data.
SEO plugins (Yoast SEO Schema, RankMath Schema, All in One SEO Schema, SEOPress, Schema Pro, Saswp)
Free plus $49 to $1,500 per year
WordPress-flavored. They do not pull from your actual location data outside WordPress.
Multi-location SEO platforms (Yext, SOCi, Birdeye, Rio SEO, Uberall, Chatmeter, Reputation)
$200 per month to $200,000+ per year, plus per-location pricing
Per-location schema bundled with their platform. Locked to a single vendor.
In-house dev and SEO engineering
$130,000 to $220,000 per year per engineer, plus four to twelve weeks per vertical schema pack
Custom JSON-LD per vertical. Permanent maintenance.
Build it in-house
Hand-written JSON-LD plus Google Rich Results Test
Falls apart past 10 pages once vertical-specific requirements arrive.
What changes when this is an agent skill
Every location's JSON-LD is generated from your actual operating data and refreshed when the data changes. The system pulls hours, services, practitioners, insurance accepted, languages spoken, location address, and the rest directly from where you already keep it, and produces LocalBusiness plus the vertical-specific type (Dentist, MedicalClinic, Restaurant, AutomotiveBusiness, FinancialService, GovernmentOffice, and so on), plus Service, FAQPage, BreadcrumbList, Person, Organization, and Offer types per location. Compliance rules apply per regulation: HIPAA dental gets the right terms, FDA medical-device gets the right substantiation language, California consumer-data gets the right gates, GDPR EU gets the right disclosures. Multi-banner operators see per-location JSON-LD across banners with each banner's schema kept distinct. The schema sits inside the rest of the schema-graph work, so audits, conflict detection, rich-result eligibility scoring, and auto-remediation all see the same source of truth. Every JSON-LD block and every change is preserved with the location, vertical, source data, and timestamp — so when an audit or rich-results review asks why a field was set the way it was, the answer is on file. Schema App and Merkle remain useful for generic schema generation. Yext and SOCi remain useful inside their platforms. This is the layer that ties schema directly to your operating data.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Schema Audit + Remediation Agent
Owns the JSON-LD schema graph — audit, generation, remediation, vertical schema packs, rich-result eligibility, quarterly schema.org absorption.
FAQ
- What schema types does it generate?
- LocalBusiness plus the vertical-specific type for your business (Dentist, MedicalClinic, Restaurant, AutomotiveBusiness, FinancialService, GovernmentOffice, and so on), plus Service, FAQPage, BreadcrumbList, Person, Organization, and Offer per location.
- How does it stay in sync with our actual data?
- It pulls from your operating data directly. When hours change, when a practitioner is added, when insurance accepted is updated — the schema refreshes automatically.
- How is this different from Schema App or WordLift?
- Those generate schema. They are not connected to your operating data and do not stay fresh when the data changes.
- How is this different from Yoast Schema or RankMath?
- Those are WordPress plugins. They generate schema from the WordPress page itself, not from your multi-location operating data.
- How is this different from Yext or SOCi schema?
- Those bundle schema with their platform. If you live entirely inside Yext or SOCi, that works. Most multi-location operators do not.
- How does it handle HIPAA, FDA, or California consumer-data?
- Each regulation has its own treatment. HIPAA dental gets the right terms in the schema. FDA medical-device gets the right substantiation. California consumer-data gets the right gates.
- Does it support multi-banner operators?
- Yes. Each banner's schema is kept distinct. Cross-banner views available where you set them up intentionally.
- What does the audit trail look like?
- Every JSON-LD block and every schema change is preserved with the location, the vertical, the source data, and a timestamp. When an audit or rich-results review asks why a field was set a certain way, the answer is on file.